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PDF text and tables as Markdown for an LLM

Returns each document's text with its tables appended as proper Markdown tables, which is the friendliest shape to hand to a language model. Pair it with Dataset AI Enrich to turn the text into typed columns.

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PDF Text Extractor: Bulk PDF to Text & Tables from CSV or Sheet
PDF Text Extractor: Bulk PDF to Text & Tables from CSV or Sheetnerolabs/dataset-pdf-extract
PDF URL
Status
Has text layer
Needs OCR
+10 fields
Text
Number
Boolean
List
Object

Input

PDF URLs:https://arxiv.org/pdf/1706.03762
Text output:markdown
Include per-page text:true

Output fields

PDF URL
Status
Has text layer
Needs OCR
Pages
Words
Tables
Title
Author
Created
Size (KB)
Text
Tables
Detail

How it works

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The PDF Text Extractor: Bulk PDF to Text & Tables from CSV or Sheet Actor is ready to run with the inputs already set for "PDF text and tables as Markdown for an LLM". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "PDF text and tables as Markdown for an LLM" task

The PDF Text Extractor: Bulk PDF to Text & Tables from CSV or Sheet Actor will start running based on the input automatically. You can also change all the input fields, like PDF URLs, text output, and more, to match your specific use case.

Receive the "PDF text and tables as Markdown for an LLM" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as PDF URL, status, has text layer, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "PDF text and tables as Markdown for an LLM" task via API.

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